complete.loglikelihood: Complete-data Log-Likelihood

In cbg-ethz/MC-CBN: Large-scale inference of continuous time Conjunctive Bayesian Networks

Complete-data Log-Likelihood

Description

compute the complete-data log-likelihood or, equivalently, the hidden log-likelihood

Usage

complete.loglikelihood(lambda, eps, Tdiff, dist, weights = NULL)

Arguments

lambda	a vector of the rate parameters
eps	error rate, ε
Tdiff	a matrix of expected time differences
dist	a vector of expected Hamming distances
weights	an optional vector containing observation weights

cbg-ethz/MC-CBN documentation built on Dec. 15, 2022, 5:42 p.m.